• DocumentCode
    2578519
  • Title

    A QoS multicast routing algorithm based on ant colony algorithm

  • Author

    Wang, Ziqiang ; Zhang, Dexian

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., China
  • Volume
    2
  • fYear
    2005
  • fDate
    23-26 Sept. 2005
  • Firstpage
    1007
  • Lastpage
    1009
  • Abstract
    Ant colony optimization (ACO) algorithm is a new meta-heuristic for hard combinational optimization problem. In order to resolve QoS multicast routing effectively and efficiently, this paper firstly describe QoS multicast routing model and ACO algorithm, then a new version of ACO algorithm based on pheromone local and global updating rule is proposed. Simulation results show that this algorithm can find optimal solution quickly and has a good scalability.
  • Keywords
    multicast communication; optimisation; quality of service; telecommunication network routing; QoS multicast routing algorithm; ant colony optimization; combinational optimization problem; Ant colony optimization; Bandwidth; Costs; Delay effects; IP networks; Information science; Multicast algorithms; Quality of service; Routing; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on
  • Print_ISBN
    0-7803-9335-X
  • Type

    conf

  • DOI
    10.1109/WCNM.2005.1544222
  • Filename
    1544222
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2578519